Head of Internal Tools Engineering
About A1
There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.
Role
You will architect, build, and scale the internal technology ecosystem that accelerates workforce productivity, eliminates operational friction, and gives the company a compounding infrastructure advantage. You will treat internal tools with the same product rigour and user-centricity as any external product — because the quality of internal systems directly determines organisational velocity.
You will lead a cross-functional engineering team, make high-stakes build-vs-buy decisions, and drive AI adoption into internal workflows. This role requires someone who can see the company’s operational architecture as a system design problem and solve it with software.
What You Will Do
Internal Platform Strategy & Roadmap
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Own the end-to-end strategy and roadmap for all internal tools, platforms, and automation — treating internal technology as a product, not a cost centre.
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Make strategic build-vs-buy decisions, knowing when a custom-built solution creates a lasting advantage and when a SaaS tool is the right answer.
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Map current and next-state process flows across the entire internal toolchain and lead systems transformation for internal teams.
Systems Architecture & Engineering
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Architect and maintain the full engineering lifecycle for internal platforms — from ideation and design through deployment, iteration, and deprecation.
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Build seamless, API-first ecosystems that integrate internal tools across HR systems, finance platforms, knowledge management, CRM, and developer infrastructure.
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Own system reliability and operational resilience: establish success metrics for uptime, performance, and employee productivity.
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Design scalable, secure architectures using cloud-native principles, microservices, and modern integration patterns.
AI & Automation
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Lead the strategy for integrating AI and LLMs into internal workflows — reimagining how knowledge is shared, decisions are supported, and work is executed across the organisation.
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Deploy intelligent automation tools — including AI where appropriate — to streamline internal processes and improve decision-making.
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Evaluate and integrate AI-assisted troubleshooting, proactive recommendations, and intelligent automation into the internal platform layer.
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Stay ahead of technology trends and drive continuous experimentation — you build prototypes, not slide decks.
Developer Experience & Productivity
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Reduce cognitive load for internal users by providing golden paths, standardised workflows, and self-service capabilities.
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Ensure frictionless onboarding and seamless integration across the tool ecosystem.
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Measure platform success through adoption rates, user satisfaction, DORA metrics, and productivity impact — not feature count.
Team Leadership
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Build, lead, and mentor a high-performing team of engineers and engineering managers.
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Cultivate a collaborative engineering culture rooted in ownership, speed, and craftsmanship.
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Provide technical mentorship and create growth paths for individual contributors and managers alike.
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Foster psychological safety and a feedback-driven environment that empowers people to do their best work.
Cross-Functional Collaboration
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Partner with People, Finance, Engineering, Legal, and Operations leadership to translate complex business needs into a unif